Remove Large Language Models Remove Prompt Engineering Remove Software Architect
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How Q4 Inc. used Amazon Bedrock, RAG, and SQLDatabaseChain to address numerical and structured dataset challenges building their Q&A chatbot

Flipboard

Experimentation and challenges It was clear from the beginning that to understand a human language question and generate accurate answers, Q4 would need to use large language models (LLMs). Further performance optimization involved fine-tuning the query generation process using efficient prompt engineering techniques.

Chatbots 168
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Educating a New Generation of Workers

O'Reilly Media

Entirely new paradigms rise quickly: cloud computing, data engineering, machine learning engineering, mobile development, and large language models. To further complicate things, topics like cloud computing, software operations, and even AI don’t fit nicely within a university IT department.

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Exploring data using AI chat at Domo with Amazon Bedrock

AWS Machine Learning Blog

The AI Service Layer allows Domo to switch between different models provided by Amazon Bedrock for individual tasks and track their performance across key metrics like accuracy, latency, and cost. The request goes through guardrails, which are mechanisms and strategies to enforce the responsible, ethical, and safe use of the AI model.